logo of company

Virtual Population Summary


An example of a report generated using graphs from the Virtual Population Visualisation from KerusCloud

Author: Gareth Burns

Date: November 6, 2024

Welcome!

Thank you for viewing an example report created for the Effective Statistician conference.

KerusCloud allows you to create realistic virtual population data with up to 20,000 patients, 10,000 simulations and over 250,000 scenarios.

KerusCloud also allows multiple study design options and decision criteria.

Clients come to Exploristics with highly bespoke study design issues that require innovative and novel clinical trial designs and/or analytic technique to achieve their goals. This often involves using simulations to allow provide a data-driven approach to understand the trade-offs of using different approaches.

Our Statistical Consultants need to produce bespoke data visualisations and reports. The Virtual Population Visualisation application was designed to provide a flexible approach for creating data visualisations whilst streamlining workflows and producing consistent & professional plots.

Example Project

This is an example of a Vaccine trial, across several countries, low-incidence rate - so need to recruit large number of patients across multiple countries.

Using KerusCloud we simulated Virtual Populations with recruitment sites in 4 different countries, baseline patient data and repeated measure & time to event variables of disease occurrence.

Patient Recruitment

In this particular clinical trial example patient recruitment is a key factor to the success or failure. With a rare disease, the vaccine will need to be administered to a large number of people and potentially on a longer duration.

Optimising the clinical trial design whilst considering patient recruitment, duration in addition to statistical properties increases the likelihood of success, reduces the cost, and gets a vaccine to patients that urgently need it sooner - saving lives!

KerusCloud allows for up to 10 recruitment sites allows you to modify recruitment rates between sites and over time.

In addition you can add a cap to set the maximum number of patients recruited from specific site(s). This allows you to highly customise your recruitment strategies!

Recruitment Sites

In this example we have 4 recruitment sites in 4 different countries in Africa. Maps are always a good introductory visualisation as they set the geographical context of a project and provide an indication of the scope of a project.

Recruitment

Timeline

A visualisation such as a Gantt chart can provide a excellent summary of the project. It provides an overview of the expected timeline of the trial for each subject, and allows cross-checking that data aligns with the planned visit schedule.

Simulating Data

Time-to-event variables are also know as survival or duration variables.

Benefits

Using the Virtual Population Visualisation allows you to optimise your workflow and reduce the time required to get the data visualisation aligned with the story and automates the process of aligning your theme to your plots.

This provides the flexibility to produce PowerPoint slides aligned with your organisational corporate templates and colour palettes or download the reproducible scripts to embed within a quarto presentation such as this one!

More Information

All data was generated using KerusCloud, if want to know more about KerusCloud and how it could relate to you work why not find out more by reading one of our case studies.

Case Studies

Biomarker Evaluation: Establishing biomarkers of treatment efficacy in liver disease.

Go/No Go Decision-Making: Creating Go/No Go decision-making criteria for early-stage studies.

Composite Biomarker: Building and validating a composite biomarker model to predict emphysema progression.

Real World Evidence: Simulating patient level outcome data to inform clinical trial design based on real-world, clinical trial and literature data.

Precision Medicine: Effective precision medicine strategies with KerusCloud.

Identifying Best Strategy: Identifying the best overall strategy for study designs and drug development pathways.

Bayesian Extrapolation: Bayesian Extrapolation to Evaluate Efficacy in Pediatric Subjects using Adult Data.

Enabling Early Approval: Enabling early approval with a smarter approach to generating robust clinical evidence.

Adapting to recruitment difficulties: Identifying an adaptive trial design to maximise success with a smaller sample size.

Re-evaluating design of an initiated trial: Adapting to new information to identify a hidden risk, the impact of correlations.